Varsity Hackathon 2025

Domain: AI & Data Science

CASE STUDY 1: Self-Learning Trading Strategies

⚠️ IMPORTANT: This is just an Hackathon project. There are NO guarantees of profitability. Trading involves substantial risk of loss.

To learn more about this hackathon you can visit vHack

This project explores the potential of artificial financial intelligence - a focused implementation of AI for trading and investing research.

🎯 Vision

I'm researching AI agents for trading that may eventually leverage AFI. This is experimental research, not a profitable trading solution.

💡 Concept

AI agents might help address common trading challenges:

• Emotional reactions
• Ego-driven decisions
• Inconsistent execution
• Fatigue effects
• Impatience
• Fear & Greed cycles

While we use the RBI framework for strategy research, we're exploring AI agents as potential tools. We're in early stages with LLM technology, investigating possibilities in the trading space.

🗺️ Research Roadmap

1. Risk Control Agents

Exploring AI agents that could assist with risk management. This is purely experimental research into risk oversight possibilities.

2. Exit Agents

Researching potential exit timing assistance. This overlaps with risk management research but focuses on position management concepts.

3. Entry Agents

Investigating entry-focused concepts after risk management research.

4. Sentiment Collection Agents

Exploring ways to gather market sentiment from Twitter, Discord, and Telegram for research purposes.

5. Strategy Algo Execution Agents

Researching concepts like:

• Multi-agent consensus
• Strategy validation
• Dynamic trade filtering

⚠️ Critical Disclaimers

PLEASE READ CAREFULLY:

1. This is an experimental research project, NOT a trading system

2. There are NO plug-and-play solutions for guaranteed profits

3. We do NOT provide trading strategies

4. Success depends entirely on YOUR:

   • Trading strategy
   • Risk management
   • Market research
   • Testing and validation
   • Overall trading approach

5. NO AI agent can guarantee profitable trading

6. You MUST develop and validate your own trading approach

7. Trading involves substantial risk of loss

8. Past performance does not indicate future results